david on Nostr: He’s commenting on the grapevine method of calculating influence scores. And he’s ...
He’s commenting on the grapevine method of calculating influence scores. And he’s correct, ratings above 1 can lead to divergent scores. But there are several ways to address this problem. One way is for the I on the left hand side of the equation and the I on the right hand side to be different Influence Scores. In other words: each Influence Score is a function of context. For the sake of simplicity, my initial implementation just uses generic, pan-contextual Influence. But we won’t necessarily always do that.
Published at
2024-06-28 16:18:21Event JSON
{
"id": "c60a45968ecc6957d5c093cccfd5db6cbe77c035eb98e8c5ae4f75bb8e3a343e",
"pubkey": "e5272de914bd301755c439b88e6959a43c9d2664831f093c51e9c799a16a102f",
"created_at": 1719591501,
"kind": 1,
"tags": [
[
"e",
"205162fa3bfe252cf30aed4396b2cbf15400fd2befaf8536b228514f53a37084",
"",
"root"
],
[
"e",
"130d9baab3f8affba8be56a77b5cb4f1e868d09023aef92569d7923112fc316e",
"",
"reply"
],
[
"p",
"f683e87035f7ad4f44e0b98cfbd9537e16455a92cd38cefc4cb31db7557f5ef2"
],
[
"p",
"fec774af5b50108ccd107b7b096d68e0771dd844f013b30e407f5376e69d596b"
],
[
"p",
"2efaa715bbb46dd5be6b7da8d7700266d11674b913b8178addb5c2e63d987331"
]
],
"content": "He’s commenting on the grapevine method of calculating influence scores. And he’s correct, ratings above 1 can lead to divergent scores. But there are several ways to address this problem. One way is for the I on the left hand side of the equation and the I on the right hand side to be different Influence Scores. In other words: each Influence Score is a function of context. For the sake of simplicity, my initial implementation just uses generic, pan-contextual Influence. But we won’t necessarily always do that.",
"sig": "09a399fa1c458824cc58c99f490947275a7c54aec7927cde62ccaa383cb69ad132e89fa8e4a1e3ac3373e6c5e066738c420154efaa3e1f297fddbab1b43b9915"
}
